| Deep q-learning from demonstrations T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ... Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 1186* | 2018 |
| Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards M Vecerik, T Hester, J Scholz, F Wang, O Pietquin, B Piot, N Heess, ... arXiv preprint arXiv:1707.08817, 2017 | 657 | 2017 |
| Noisy networks for exploration M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ... arXiv preprint arXiv:1706.10295, 2017 | 586 | 2017 |
| Modulating early visual processing by language H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville Advances in Neural Information Processing Systems 30, 2017 | 482 | 2017 |
| Guesswhat?! visual object discovery through multi-modal dialogue H De Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 411 | 2017 |
| Listen and translate: A proof of concept for end-to-end speech-to-text translation A Bérard, O Pietquin, C Servan, L Besacier arXiv preprint arXiv:1612.01744, 2016 | 275 | 2016 |
| What matters for on-policy deep actor-critic methods? a large-scale study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... International conference on learning representations, 2020 | 266* | 2020 |
| A theory of regularized markov decision processes M Geist, B Scherrer, O Pietquin International Conference on Machine Learning, 2160-2169, 2019 | 242 | 2019 |
| Acme: A research framework for distributed reinforcement learning MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ... arXiv preprint arXiv:2006.00979, 2020 | 203 | 2020 |
| A probabilistic framework for dialog simulation and optimal strategy learning O Pietquin, T Dutoit IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 589-599, 2006 | 202 | 2006 |
| End-to-end automatic speech translation of audiobooks A Bérard, L Besacier, AC Kocabiyikoglu, O Pietquin 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 190 | 2018 |
| Machine learning for spoken dialogue systems O Lemon, O Pietquin European Conference on Speech Communication and Technologies (Interspeech'07 …, 2007 | 147 | 2007 |
| A framework for unsupervised learning of dialogue strategies O Pietquin Presses univ. de Louvain, 2005 | 143 | 2005 |
| A survey on metrics for the evaluation of user simulations O Pietquin, H Hastie The knowledge engineering review 28 (1), 59-73, 2013 | 137 | 2013 |
| Audiolm: a language modeling approach to audio generation Z Borsos, R Marinier, D Vincent, E Kharitonov, O Pietquin, M Sharifi, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 127 | 2023 |
| Kalman temporal differences M Geist, O Pietquin Journal of artificial intelligence research 39, 483-532, 2010 | 120 | 2010 |
| Sample-efficient batch reinforcement learning for dialogue management optimization O Pietquin, M Geist, S Chandramohan, H Frezza-Buet ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-21, 2011 | 116 | 2011 |
| Inverse reinforcement learning through structured classification E Klein, M Geist, B Piot, O Pietquin Advances in neural information processing systems 25, 2012 | 114 | 2012 |
| Algorithmic Survey of Parametric Value Function Approximation M Geist, O Pietquin Transactions on Neural Networks and Learning Systems 24 (6), 845-867, 2013 | 112* | 2013 |
| User simulation in dialogue systems using inverse reinforcement learning S Chandramohan, M Geist, F Lefevre, O Pietquin Interspeech 2011, 1025-1028, 2011 | 112 | 2011 |
Matthieu GeistGoogle DeepMind (on leave of Professor, Université de Lorraine)Email verificata su univ-lorraine.fr
